Searched for: author:"Kraaij, W."
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Awad, G. (author), Butt, A.A. (author), Curtis, K. (author), Lee, Y. (author), Fiscus, J. (author), Godil, A. (author), Delgado, A. (author), Zhang, J. (author), Godard, E. (author), Diduch, L. (author), Smeaton, A.F. (author), Graham, Y. (author), Kraaij, W. (author), Quénot, G. (author)
[No abstract available]
conference paper 2020
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de Boer, M. (author), Schutte, K. (author), Kraaij, W. (author)
[No abstract available]
conference paper 2020
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Lu, Y.J. (author), Zhang, H. (author), Ngo, C.W. (author), de Boer, M. (author), Schavemaker, J. (author), Schutte, K. (author), Kraaij, W. (author)
0-Shot System - The simple exact matching performs the best - The quality of concepts selected to represent an event is more important than quantity - It's an open problem of how to harness the ontology-based mapping MER System - In key evidence localization, we emphasize the event relevancy first, then the hot concepts - We recommend three...
conference paper 2020
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Awad, G. (author), Butt, A.A. (author), Curtis, K. (author), Lee, Y. (author), Fiscus, J. (author), Godil, A. (author), Joy, D. (author), Delgado, A. (author), Smeaton, A.F. (author), Graham, Y. (author), Kraaij, W. (author), Quénot, G. (author), Magalhaes, J. (author), Semedo, D. (author), Blasi, S. (author)
[No abstract available]
conference paper 2020
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Kraaij, W. (author), Verberne, S. (author), Koldijk, S. (author), de Korte, E. (author), van Dantzig, S. (author), Sappelli, M. (author), Shoaib, M. (author), Bosems, S. (author), Achterkamp, R. (author), Bonomi, A. (author), Schavemaker, J. (author), Hulsebosch, B. (author), Wabeke, T. (author), Vollenbroek-Hutten, M. (author), Neerincx, M. (author), Sinderen, M. (author)
Recent advances in wearable sensor technology and smartphones enable simple and affordable collection of personal analytics. This paper reflects on the lessons learned in the SWELL project that addressed the design of user-centered ICT applications for self-management of vitality in the domain of knowledge workers. These workers often have a...
article 2020
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Abedjan, Z. (author), Boujemaa, N. (author), Campbell, S. (author), Casla, P. (author), Chatterjea, S. (author), Consoli, S. (author), Costa-Soria, C. (author), Czech, P. (author), Despenic, M. (author), Garattini, C. (author), Hamelinck, D. (author), Heinrich, A. (author), Kraaij, W. (author), Kustra, J. (author), Lojo, A. (author), Sanchez, M.M. (author), Mayer, M.A. (author), Melideo, M. (author), Menasalvas, E. (author), Aarestrup, F.M. (author), Artigot, E.N. (author), Petkovi?, M. (author), Recupero, D.R. (author), Gonzalez, A.R. (author), Kerremans, G.R. (author), Roller, R. (author), Romao, M. (author), Ruping, S. (author), Sasaki, F. (author), Spek, W. (author), Stojanovic, N. (author), Thoms, J. (author), Vasiljevs, A. (author), Verachtert, W. (author), Wuyts, R. (author)
The advent of digital medical data has brought an exponential increase in information available for each patient, allowing for novel knowledge generation methods to emerge. Tapping into this data brings clinical research and clinical practice closer together, as data generated in ordinary clinical practice can be used towards rapid-learning...
bookPart 2019
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Awad, G. (author), Soboroff, I. (author), Butt, A. (author), Curtis, K. (author), Ellis, A. (author), Dimmick, D. (author), Fiscus, J. (author), Godil, A. (author), Delgado, A. (author), Smeaton, A. (author), Graham, Y. (author), Kraaij, W. (author), Quénot, G. (author), Magalhaes, J. (author), Semedo, D. (author), Blasi, S. (author), Strassel, S. (author), Lee, Y. (author), Joy, D. (author)
[No abstract available]
conference paper 2018
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de Korte, E.M. (author), Wiezer, N. (author), Bakhuys Roozeboom, M. (author), Vink, P. (author), Kraaij, W. (author)
Background: Employees remain at risk of developing physical and mental health problems. To improve the lifestyle, health, and productivity many workplace interventions have been developed. However, not all of these interventions are effective. Mobile and wireless technology to support health behavior change (mobile health [mHealth] apps) is a...
article 2018
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Kraaij, W. (author), Awad, G. (author), Curtis, K. (author)
[No abstract available]
public lecture 2018
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de Korte, E.M. (author), Wiezer, N. (author), Hanssen, J.H. (author), Vink, P. (author), Kraaij, W. (author)
Background: To improve workers’ health and well-being, workplace interventions have been developed, but utilization and reach are unsatisfactory, and effects are small. In recent years, new approaches such as mobile health (mHealth) apps are being developed, but the evidence base is poor. Research is needed to examine its potential and to assess...
article 2018
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Veeningen, M. (author), Chatterjea, S. (author), Horváth, A.Z. (author), Spindler, G. (author), Boersma, E. (author), van der Spek, P. (author), van der GaliËn, O. (author), Gutteling, J. (author), Kraaij, W. (author), Veugen, P.J.M. (author)
conference paper 2018
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Brouwer, A.M. (author), van de Water, L. (author), Hogervorst, M.A. (author), Kraaij, W. (author), Schraagen, J.M.C. (author), Hogenelst, K. (author)
Monitoring an individual’s mental state using unobtrusively measured signals is regarded as an essential element in symbiotic human-machine systems. However, it is not straightforward to model the relation between mental state and such signals in real life, without resorting to (unnatural) emotion induction. We recorded heart rate, facial...
conference paper 2018
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Koldijk, S. (author), Neerincx, M.A. (author), Kraaij, W. (author)
Employees often report the experience of stress at work. In the SWELL project we investigate how new context aware pervasive systems can support knowledge workers to diminish stress. The focus of this paper is on developing automatic classifiers to infer working conditions and stress related mental states from a multimodal set of sensor data ...
article 2018
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Raaijmakers, S.A. (author), Sappelli, M. (author), Kraaij, W. (author)
In this short paper, we address the interpretability of hidden layer representations in deep text mining: deep neural networks applied to text mining tasks. Following earlierwork predating deep learning methods, we exploit the internal neural network activation (latent) space as a source for performing k-nearest neighbor search, looking for...
conference paper 2017
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de Boer, M.H.T. (author), Lu, Y.J. (author), Zhang, H. (author), Schutte, K. (author), Ngo, C.W. (author), Kraaij, W. (author)
Searching in digital video data for high-level events, such as a parade or a car accident, is challenging when the query is textual and lacks visual example images or videos. Current research in deep neural networks is highly beneficial for the retrieval of high-level events using visual examples, but without examples it is still hard to (1)...
article 2017
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van Kraaij, W. (author)
public lecture 2017
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van Lieshout, M.J. (author), Kraaij, W. (author), Molema, H. (author)
Many people today use wearable devices and do-it-yourself (diy) tests to monitor their health. While doing so, they generate massive amounts of personal data, such as data about daily activities, heart rate, blood parameters and sleep. Rearch shows that many people are willing to share their data with healthcare providers even app providers when...
other 2017
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de Boer, M. (author), Pingen, G. (author), Knook, D. (author), Schutte, K. (author), Kraaij, W. (author)
In content based video retrieval videos are often indexed with semantic labels (concepts) using pre-trained classifiers. These pre-trained classifiers (concept detectors), are not perfect, and thus the labels are noisy. Additionally, the amount of pre-trained classifiers is limited. Often automatic methods cannot represent the query adequately...
article 2017
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Kraaij, W. (author)
public lecture 2017
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Awad, G. (author), Kraaij, W. (author), Over, P. (author), Satoh, S. (author)
This paper presents an overview of the Video instance search benchmark which was run over a period of 6years (2010–2015) as part of the TREC Video Retrieval workshopseries.The main contributions of the paper include (i) an examination of the evolving design of the evaluation framework and its components (system tasks, data, measures); (ii) an...
article 2017
Searched for: author:"Kraaij, W."
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